A Review of Machine learning Use-Cases in Telecommunication Industry in the 5G Era
Mahmoud, Haitham and Ismail, Tawfik (2021) A Review of Machine learning Use-Cases in Telecommunication Industry in the 5G Era. In: 16th International Computer Engineering Conference (ICENCO), 29th - 30th December 2020, Cairo, Egypt.
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Abstract
With the development of the 5G and Internet of things (IoT) applications, which lead to an enormous amount of data, the need for efficient data-driven algorithms has become crucial. Security concerns are therefore expected to be raised using state-of-the-art information technology (IT) as data may be vulnerable to remote attacks. As a result, this paper provides a high-level overview of machine-learning use-cases for data-driven, maintaining security, or easing telecommunications operating processes. It emphasizes the importance of analyzing the role of machine learning in the telecommunications sector in terms of network operation.
| Item Type: | Conference or Workshop Item (Paper) | ||||||
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| Identification Number: | https://doi.org/10.1109/ICENCO49778.2020.9357376 | ||||||
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| Uncontrolled Keywords: | Machine-learning, Telecommunications industry, Artificial intelligence | ||||||
| Subjects: | CAH11 - computing > CAH11-01 - computing > CAH11-01-01 - computer science | ||||||
| Divisions: | Faculty of Computing, Engineering and the Built Environment > School of Computing and Digital Technology | ||||||
| Depositing User: | Gemma Tonks | ||||||
| Date Deposited: | 13 Nov 2023 16:43 | ||||||
| Last Modified: | 13 Nov 2023 16:43 | ||||||
| URI: | https://www.open-access.bcu.ac.uk/id/eprint/14933 |
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